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Modelling and validation of near-field Diesel spray CFD simulations based on the Sigma-Y model
- Source :
- WOS:000428143600013, RUO: Repositorio Institucional de la Universidad de Oviedo, Universidad de Oviedo (UNIOVI), RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, RUO. Repositorio Institucional de la Universidad de Oviedo
- Publication Year :
- 2017
-
Abstract
- [EN] Diesel spray modelling still remains a challenge, especially in the dense near-nozzle region. This region is difficult to experimentally access and also to model due to the complex and rapid liquid and gas interaction. Modelling approaches based on Lagrangian particle tracking have struggled in this area, while Eulerian modelling has proven particularly useful. An interesting approach is the single-fluid diffuse interface model known as Σ-Y, based on scale separation assumptions at high Reynolds and Weber numbers. Liquid dispersion is modelled as turbulent mixing of a variable density flow. The concept of surface area density is used for representing liquid structures, regardless of the complexity of the interface. In this work, an implementation of the Σ-Y model in the OpenFOAM CFD library is applied to simulate the ECN Spray A in the near nozzle region, using both RANS and LES turbulence modelling. Assessment is performed with measurements conducted at the Advanced Photon Source at Argonne National Laboratory (ANL). The ultra-smallangle x-ray scattering (USAXS) technique has been used to measure the interfacial surface area, and x-ray radiography to measure the fuel dispersion, allowing a direct evaluation of the Σ-Y model predictions.<br />Authors acknowledge that part of this work was partially funded by the Spanish Ministry of Economy and Competitiveness in the frame of the COMEFF (TRA2014-59483-R) project. Parts of this research were performed at the 7-BM and 9-ID beam lines of the Advanced Photon Source at Argonne National Laboratory. Use of the APS is supported by the U.S. Department of Energy (DOE) under Contract No. DEAC02-06CH11357. The research was partially funded by DOE's Vehicle Technologies Program, Office of Energy Efficiency and Renewable Energy. The authors would like to thank Team Leaders Gurpreet Singh and Leo Breton for their support of this work
Details
- Database :
- OpenAIRE
- Journal :
- WOS:000428143600013, RUO: Repositorio Institucional de la Universidad de Oviedo, Universidad de Oviedo (UNIOVI), RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, RUO. Repositorio Institucional de la Universidad de Oviedo
- Accession number :
- edsair.doi.dedup.....e017134d60c742f3cc466073a84cad58